Theoretical hydropower operation rules are derived and discussed for reservoirs in parallel, in series, and single reservoirs for cases where reservoirs typically refill before they empty and for parallel reservoirs when reservoirs are expected to draw down to empty. These hydropower rules offer a simplified economic basis for allocating storage and energy in multireservoir hydropower systems. ...

Well log data are routinely used for stratigraphic interpretation of the earth’s subsurface. This paper investigates using a co-evolutionary fuzzy system to generate a well log interpreter that can automatically process well log data and interpret reservoir permeability. The methodology consists of 3 steps: 1) transform well log data into fuzzy symbols which maintain the character of the origin...

The objective is to present a reservoir management system which is capable of determining optimal operating rules both for flood event based and normal operation while at the same time attempting to achieve ecologically oriented operation. In order to maintain the variability of the natural flow regime, a new dynamic operating policy is introduced for normal operation. Flood event based operati...

We previously described how retail meat, particularly chicken, might be a reservoir for extraintestinal pathogenic Escherichia coli (ExPEC) causing urinary tract infections (UTIs) in humans. To rule out retail beef and pork as potential reservoirs, we tested 320 additional E. coli isolates from these meats. Isolates from beef and pork were significantly less likely than those from chicken to be...

Accurate real-time reservoir inflow forecasting is an important requirement for operation, scheduling and planning conjunctive use in any basin. In this study, Time Delay Artificial Neural Network (TDANN) models, which are time lagged feed-formatted networks with delayed memory processing elements at the input layer, are applied to forecast the daily inflow into a planned Reservoir (Almopeos Ri...

Minimalist Grammars (MG) are viewed as a resource consuming system where syntactic operations are triggered when a positive form of a feature matches with its negative form. But a problem arises when a feature lacks a positive/negative value. For the latter case, we introduce a default inference rule in order to account for the underspecification of the feature in a lexical entry.

This paper proposes a heuristic rule for detection of user-to-root (U2R) attacks against Solaris TM operating system. Relevant features for developing heuristic rules were manually mined using Solaris TM Basic Security Module audit data. The proposed rule was tested on both DARPA 1998 and 1999 intrusion detection datasets. Results show that all user-to-root attacks exploiting the suid program w...

A major issue to overcome when characterizing a deep fractured reservoir is that of data limitation due to accessibility and affordability. Moreover, the ability to map discontinuities in the rock with available geological and geophysical tools tends to decrease particularly as the scale of the discontinuity goes down. Geological characterization data include, but not limited to, measurements o...

Neural networks based on high-dimensional random feature generation have become popular under the notions extreme learning machine (ELM) and reservoir computing (RC). We provide an in-depth analysis of such networks with respect to feature selection, model complexity, and regularization. Starting from an ELM, we show how recurrent connections increase the effective complexity leading to reservo...